Sökning: "Electrocardiogram"

Visar resultat 1 - 5 av 53 uppsatser innehållade ordet Electrocardiogram.

  1. 1. Self-supervised representation learning from electrocardiogram data for medical applications

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Matilda Andersson; [2023]
    Nyckelord :Self-supervised learning; Deep learning; Cardiovascular disease; Electrocardiogram; ECG; SimCLR; BYOL; VICReg; Mathematics and Statistics;

    Sammanfattning : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. LÄS MER

  3. 2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dorsa Mohammad; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER

  4. 3. Effekter av energidryck på korrigerad QT-tid, hjärtfrekvens och blodtryck på kvinnor : En placebostudie

    M1-uppsats, Jönköping University/HHJ, Avdelningen för naturvetenskap och biomedicin

    Författare :Zamira Edaet Memedovska; Bayan Hsino; [2023]
    Nyckelord :Electrocardiography; mechanism of action; caffeine; weight; consumption habits; Elektrokardiografi; Verkningsmekanism; Koffein; Vikt; Konsumtionsvanor;

    Sammanfattning : Syftet med denna placebostudie är att studera energidryckens effekter på QTc-tiden, hjärtfrekvens (HR), systoliskt blodtryck (SBP) och diastoliskt blodtryck (DBP) efter konsumtion av 2 mg koffein per kilogram kroppsvikt. Dessutom belysa om skillnader finns beroende på koffeinkonsumtions vanor. LÄS MER

  5. 4. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Stefan Christiansson; [2023]
    Nyckelord :MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER

  7. 5. Predicting and classifying atrial fibrillation from ECG recordings using machine learning

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Carl Bogstedt; [2023]
    Nyckelord :Bioinformatics; Machine Learning; Electrocardiogram; Classification; Rough Sets; XGBoost; Atrial Fibrillation;

    Sammanfattning : Atrial fibrillation is one of the most common types of heart arrhythmias, which can cause irregular, weak and fast atrial contractions up to 600 beats per minute. Atrial fibrillation has increased prevalence with age and is associated with increased risks of ischemia, as blood clots can form due to the weak contractions. LÄS MER